An Enhanced Power Quality Improvement Control Strategy for Grid-Connected Inverters

Aiming to mitigate the issues of serious power quality degradation in distribution networks, this paper proposes an enhanced power quality improvement control strategy for grid-connected inverters. The current reference generation algorithm for the negative sequence and harmonic mitigation is introduced, and a compensation performance assessment method based on the data envelopment analysis is established. Instead of subjectively assigning weights, this method evaluates the relative efficiency of different compensation coefficient combinations based on the real-time power quality measurement. By employing the inverter compensation capacity as the input indicator, and the grid current THD and unbalance factor as the output indicators, the proposed control fully utilizes the actual available capacity of the inverter and realizes a more optimal power quality improvement. Finally, the feasibility and effectiveness of the proposed control strategy are verified in Matlab/Simulink.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990554
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17
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An Enhanced Power Quality Improvement Control Strategy for Grid-Connected Inverters

Ya‐Jie Tang, Lei Lin, Zekun Yang, Diyang Gong et al.
1 citations
Power Systems and Renewable Energy
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article

An Enhanced Power Quality Improvement Control Strategy for Grid-Connected Inverters

Ya‐Jie Tang, Lei Lin, Zekun Yang, Diyang Gong, Xiaojie Shi
article en
1 citations

Abstract

Aiming to mitigate the issues of serious power quality degradation in distribution networks, this paper proposes an enhanced power quality improvement control strategy for grid-connected inverters. The current reference generation algorithm for the negative sequence and harmonic mitigation is introduced, and a compensation performance assessment method based on the data envelopment analysis is established. Instead of subjectively assigning weights, this method evaluates the relative efficiency of different compensation coefficient combinations based on the real-time power quality measurement. By employing the inverter compensation capacity as the input indicator, and the grid current THD and unbalance factor as the output indicators, the proposed control fully utilizes the actual available capacity of the inverter and realizes a more optimal power quality improvement. Finally, the feasibility and effectiveness of the proposed control strategy are verified in Matlab/Simulink.

Shanghai Electric (China) (CN), Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Power Systems and Renewable Energy
0.17
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